Library "MLPivotsBreakouts"
Utilizes k-NN machine learning to predict breakout zones from pivot points, aiding traders in identifying potential bullish and bearish market movements. Ideal for trend-following and breakout strategies.
breakouts(source, pivotBars, numNeighbors, maxData, predictionSmoothing)
Parameters:
source (float): series float: Price data for analysis.
pivotBars (int): int: Number of bars for pivot point detection.
numNeighbors (int): int: Neighbors count for k-NN prediction.
maxData (int): int: Maximum pivot data points for analysis.
predictionSmoothing (int): int: Smoothing period for predictions.
@return : Lower and higher prediction bands plus pivot signal, 1 for ph and -1 for pl.
Utilizes k-NN machine learning to predict breakout zones from pivot points, aiding traders in identifying potential bullish and bearish market movements. Ideal for trend-following and breakout strategies.
breakouts(source, pivotBars, numNeighbors, maxData, predictionSmoothing)
Parameters:
source (float): series float: Price data for analysis.
pivotBars (int): int: Number of bars for pivot point detection.
numNeighbors (int): int: Neighbors count for k-NN prediction.
maxData (int): int: Maximum pivot data points for analysis.
predictionSmoothing (int): int: Smoothing period for predictions.
@return : Lower and higher prediction bands plus pivot signal, 1 for ph and -1 for pl.
Nota Keluaran:
v2
Updated: Compiler annotations
Updated: Compiler annotations
Nota Keluaran:
v3
Updated:
breakouts(pivotBars, numNeighbors, maxData, predictionSmoothing)
Detects and predicts breakout points from pivot data.
Parameters:
pivotBars (int): int: Number of bars for pivot point detection.
numNeighbors (int): int: Neighbors count for k-NN prediction.
maxData (int): int: Maximum pivot data points for analysis.
predictionSmoothing (int): int: Smoothing period for predictions.
Returns: : Lower and higher prediction bands plus pivot signal, 1 for ph and -1 for pl.
Updated:
breakouts(pivotBars, numNeighbors, maxData, predictionSmoothing)
Detects and predicts breakout points from pivot data.
Parameters:
pivotBars (int): int: Number of bars for pivot point detection.
numNeighbors (int): int: Neighbors count for k-NN prediction.
maxData (int): int: Maximum pivot data points for analysis.
predictionSmoothing (int): int: Smoothing period for predictions.
Returns: : Lower and higher prediction bands plus pivot signal, 1 for ph and -1 for pl.